PMC_LLAMA_7B_trainer_Wiki_lora

This model is a fine-tuned version of chaoyi-wu/PMC_LLAMA_7B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8241

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 80
• eval_batch_size: 80
• seed: 123
• gradient_accumulation_steps: 8
• total_train_batch_size: 640
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.9219	0.9990	606	1.8241

Framework versions

• PEFT 0.10.0
• Transformers 4.41.0.dev0
• Pytorch 2.3.0
• Datasets 2.16.1
• Tokenizers 0.19.1